Method for a networked knowledge based document retrieval and ranking utilizing extracted document metadata and content

Abstract

A method, article, and system for managing document retrieval and ranking, and more particularly to providing a method, article, and system for utilizing not just the explicit metadata of a retrieved document, but also the extracted intrinsic metadata inside the content of the retrieved document, as well as the knowledge of the user-document relationship by relating the document implicit metadata to the user's information on the document's system database, as important parameters in calculating relevance or ranking score for retrieved documents.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention to Electronic[0002]This invention relates generally to software that manages document retrieval and ranking, and more particularly to providing a method, article, and system for utilizing the explicit metadata of retrieved documents, the extracted intrinsic metadata inside the content of retrieved documents, and knowledge of user-document relationships as important parameters in calculating relevance or ranking score for retrieved documents.[0003]2. Description of the Related Art[0004]There are many different document-ranking methods for query results. A large number of them are optimized in terms of performance, recall and precision ratios for searching relevant documents on the Web. Some advanced ranking methods retrieve and utilize the user searching preferences, selection types and histories. Ranking of retrieved scientific or technical documents usually use keywords in titles, abstracts, contents, and metadata. Ranking ...

AI Technical Summary

Benefits of technology

[0010]An article including one or more machine-readable storage media containing instructions that when executed enable a processor to access a document retrieval and ranking program in a system that comprises computer servers, mainframe computers, desktop computers, and mobile computing devices; and wherein the document retrieval and ranking program facilitates document searches; and wherein the document retrieval and ranking program provides for managing document retrieval and ranking from the system by utilizing not just explicit metadata of a retrieved document, but also extracted intrinsic metadata inside content of the retrieved

Problems solved by technology

Thus, calculating document relevant scores or sorting the retrieved business or contract documents based solely on their explicit metadata are not sufficient to guarantee a high precision and reliable recall ratios.

Moreover, the user may not be authorized or allowed to access all the retrieved business or contract documents.

However, none of the document ranking methods in use today has the ability to utilize the extracted implicit metadata of retrieved documents, and the relationship between the user and the retrieved documents constructed from the explicit metadata and the extracted implicit metadata.

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